Gist 4503902

Gist 4495761

This interactive map displays global cities, filtered by categories such as all locations, national capitals, and megacities. Users select a filter via buttons in the top-right menu, which dynamically updates the displayed points. The visualization uses the CartoDB library to create and manage layers over a Leaflet map, with a dark MapBox tile layer as the base. Point styling is defined through CartoDB’s tile style syntax, and SQL queries on the underlying dataset change the visible features per selection.

92% match

Gist 4354110

This visualization displays a map rendered with CartoDB, showing geographic data from a hosted visualization. The page loads a full-screen map using the CartoDB.js library, which initializes the map via `cartodb.createVis` and connects to a remote visualization URL. The map itself is embedded in a fixed-size `<div>` element and relies on CartoDB’s built-in rendering and tile services to draw the geographic layers. The code does not include custom data processing or interaction logic; it simply leverages the CartoDB API to present the pre-configured map.

75% match

Gist 67fa3790166d6549f4a9

This interactive visualization pairs a large world map with a side panel, using D3’s `d3.forceSimulation` to scatter data points across geographic coordinates rendered via `d3.geoPath` and Canvas `getImageData` for pixel-level placement. The layout adapts responsively, and the code includes CSS themes for light or dark editorial styling, suggesting a map-based storytelling template.

73% match

Gist 5830532

This example displays a map with a set of geographic features loaded from a CartoDB SQL query, which returns data in GeoJSON format. The visualization uses the Leaflet mapping library to render the map and a `L.geoJson` layer to draw the features. Each feature is processed with an `onEachFeature` callback that assigns a `cartodb_id` property to the corresponding Leaflet layer and adds it to a `drawnItems` layer group, which is then added to the map. The data source is the `leaflet_data` table from the osm2 CartoDB account.

72% match

Gist 8393709

This visualization displays a world map rendered from GeoJSON data using D3.js, with country polygons colored according to a categorical scale. The map focuses on named regions and includes a legend and hover interactions, allowing viewers to explore geographic boundaries and associated metadata such as country names and people listed in the properties.

Aadkatrit

Gist 894879

This example builds an interactive map visualization using the D3.js library, displaying geographic data over a rendered world map. It applies a force-directed simulation with `d3.forceSimulation` to position nodes, while `d3.geoPath` generates the map outlines and `d3.geoProjection` handles coordinate transformations. The interface includes customizable control panels styled via CSS, allowing users to adjust map layers and layout dynamically. The visualization renders data from a gist source, combining geographic boundaries with overlaid points that respond to simulated forces for a dynamic, data-driven presentation.

Gist 11071111

This visualization maps global earthquake intensity using CartoDB’s CartoCSS styling. It shows point markers scaled by the `mmio` attribute (Modified Mercalli Intensity), with larger circles for stronger quakes and zoom-dependent width increases. The code applies marker properties like `marker-type: ellipse`, `marker-fill`, and `marker-comp-op: multiply` to blend overlapping points, while labels display intensity values at higher zoom levels via `text-name`. The example uses CartoDB’s tile rendering and CSS-like rules to style geographic data without JavaScript libraries.

Map Pan / Zoom with Cities and Text v5

This example displays an interactive map of the world centered on the Pacific, overlaid with red circular markers for eleven cities and their labels. Pan and zoom controls are implemented using the `d3.zoom` API, which applies SVG `transform` attributes to all map paths, circles, and text. The map geometry and city positions are projected using `d3.geoMercator` and `d3.geoPath`, with country outlines loaded from a TopoJSON file. City coordinates come from a CSV loaded via `d3.csv`, and text labels are placed above each marker, each linking to a web search.

Dd3noob